Aftab, M.S. and Rossiter, J.A. (2022) Predictive functional control with explicit pre-conditioning for oscillatory dynamic systems. In: Proceedings of 2021 European Control Conference (ECC 2021). 2021 European Control Conference (ECC 2021), 29 Jun - 02 Jul 2021, Delft, Netherlands (Virtual Conference). IEEE , pp. 204-209. ISBN 9781665479455
Abstract
Predictive functional control (PFC) is a popular industrial process control strategy, but its rather simplistic design renders it less effective in more demanding situations; for example, under-damping, open-loop instability or significant non-minimum phase characteristics have been difficult to control. Devising efficient strategies for such systems remains a topic of interest within the PFC community. This paper shows how a systematic pre-conditioning approach can improve PFC performance for under-damped systems. The proposed pre-conditioning stage is essentially an additional feedback loop whose sole purpose is to provide reliable predictions for PFC decision making. To prevent complicated performance tuning and constraints management procedures, compensator design is kept fairly simple and intuitive. Numerical studies verify the efficacy of the proposal.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 EUCA. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | PFC; coincidence point; under-damping; feedback compensation; pre-conditioning |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Sep 2021 10:52 |
Last Modified: | 03 Jan 2023 01:13 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.23919/ECC54610.2021.9655126 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178010 |